Publications of Yoram Bresler

 

Last updated: June 2, 2011

 

Listed in reverse chronological order in each of the categories below:

 

·         arXiv

·         Papers in Press

·         Compressed Sensing and Sparse Approximation

·         Inverse Problems in imaging

·         Magnetic Resonance Imaging

·         Mathematics

·         Sampling & Interpolation

·         Source Coding & Data Compression

·         Statistical Imaging & Image Processing

·         Tomography

 

·         Patents

 

·         Technical Reports

 

 

Compressed Sensing and Sparse Approximation

 

JOURNAL PAPERS

 

·         O. Lee, J.M Kim, Y. Bresler, and J.C Ye, ”Compressive Diffuse optical tomography: Noniterative exact reconstruction using joint sparsity,” in IEEE Tans. Medical Imaging, Spec. Issue Compressive Sensing, vol. 30, no. 5, pp. 1129-1142, May 2011.

·         S. Ravishankar and Y. Bresler, ”MR Image Reconstruction from Highly Undersampled k-space Data by Dictionary Learning,” IEEE Tans. Medical Imaging, Spec. Issue Compressive Sensing, vol. 30, no. 5, pp. 1028-1041, May 2011.

·         K. Lee and Y. Bresler, "ADMiRA: Atomic Decomposition for Minimum Rank Approximation", accepted for publication IEEE Transactions on Information Theory, vol. 56, No. 9, Sep. 2010

·         C. Couvreur & Y. Bresler, "On the Optimallity of the Backward Greedy Algorithm for the Subset Selection Problem", SIAM Journal on Matrix Analysis and Its Applications, Vol. 21 No. 3, pp. 797-808, 1999. Draft version available <postscript>.

 

CONFERENCES

 

·         S. Ravishankar and Y. Bresler, "Multiscale Dictionary Learning for MRI,"  Proc. International Society for Magnetic Resonance in Medicine, ISMRM-2011, Abstract No. 2830, May 2011.

·         O.K. Lee, J.M Kim, Y. Bresler, J.C Ye, ”Diffuse optical tomography using generalized MUSIC algorithm,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, pp. 1142-1145, March 2011.

·         S. Ravishankar and Y. Bresler, ”Highly undersampled MRI using adaptive sparse representations,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, March 2011.

·         K. Lee and Y. Bresler, ”Performance of jointly sparse support recovery in compressed sensing”, in Proc. Workshop on Information Theory and Applications, ITA-2011, Jan. 2011.

·         K. Lee and Y. Bresler, ”Subspace methods for joint sparse recovery in compressed sensing,” in Proc. Workshop on Information Theory and Applications, ITA-2011, Jan. 2011.

·         K. Lee and Y. Bresler, "Subspace-Augmented MUSIC for Joint Sparse Recovery with Any Rank," in Proc. Sixth IEEE Sensor Array and Multichannel Signal Processing Workshop, Oct. 2010, Israel.

·         K. Lee and Y. Bresler, "Efficient and Guaranteed Rank Minimization by Atomic Decomposition," Proc. IEEE Information Theory Symposium, Seuol, Korea, June 28- July 3, pp. 314-318, 2009.

·         Y.Bresler, "Spectrum Blind Sampling and Compressive Sensing," Proc. IEEE Workshop on Information Theory and Applications ITA, pp. 547 -554, Jan. 2008.

·         J.C. Ye, S. Y. Lee, and Y. Bresler, "Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation," Proc. IEEE Int. Symposium on Biomedical Imaging. (ISBI-2008), pp. 5129-5132, 2008.

·         K. Lee and Y. Bresler, "Selecting good Fourier measurements for Compressive Sensing,", in Proc. SIAM Conference on Imaging Science, pp. 5129-5132, 2008.

·         K. Lee and Y. Bresler, "Computing performance guarantees for compressed sensing," in Proc. IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP-2008, pp. 5129-5132, 2008.

·         Q. Dinh, Y. Bresler, and Dem. Chen, "Hardware acceleration for sparse Fourier image reconstruction," in ASICON-2007 - 7th International Conference on ASIC Proceeding, Guilin, China, pp. 1346-1351, 2007.

·         J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse Fourier samples,'' in Proc. IEEE Int. Conf. Image Proc., ICIP, Thesaloniki, Greece, vol. 2, pp. 33-36, Oct. 2001.

·         J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse Fourier samples,'' in Proc. IEEE Workshop on Variational and Level Set Methods in Computer Vision, Vancouver, CA, pp. 171-178, July 2001.

·         M. Gastpar and Y. Bresler, ``On the necessary density for spectrum-blind nonuniform sampling subject to quantization, '' Proc. IEEE int. Conf. Acoust. Speech Sig. Proc. , vol.1, 2000, pp.348-51 Istanbul, June 2000.

·         M. Gastpar and Y. Bresler, ``On the optimum density for nonuniform sampling,'' Proc. ISIT, Internationanl Symposium on Information Theory,Italy, p. 445, June 2000.

·         Y. Bresler, M. Gastpar, and R. Venkataramani,``Image compression on-the-fly by universal sampling in Fourier imaging systems,'' in Proc. 1999 IEEE Information Theory Workshop on Detection, Estimation, Classification, and Imaging, Santa-Fe, NM, pp. 48-48, Feb. 1999.

·         R. Venkataramani and Y. Bresler, "Further results on spectrum blind sampling of 2D signals,'' in Proc. IEEE Int. Conf. Image Proc., Chicago, vol. 2, pp. 752-756, Oct. 1998.

·         G. Harikumar, C. Couvreur, and Y. Bresler, "Fast optimal and suboptimal algorithms for sparse solutions to linear inverse problems,'' in Proc. IEEE Int. Conf. Acoust. Speech, Sig. Proc., Seattle, WA, vol. 3, pp. 1877-1880, Apr. 1998.

·         Y. Bresler and P. Feng, "Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals,'' Proc. 3rd  IEEE Int. Conf. on Image Processing, ICIP'96, (Zurich, Switzerland), vol. I, pp. 701--704, Sept. 1996.

·         G. Harikumar and Y. Bresler, "A new algorithm for computing sparse solutions to linear inverse problems,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Process., Atlanta, GA, IEEE, vol. III, pp. 1331--1334, May 1996.

·         P. Feng and Y. Bresler, "Spectrum-blind minimum-rate sampling and reconstruction of multiband signals,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Process., Atlanta, GA, IEEE, vol. 3, pp. 1689--1692, May 1996.

·         P. Feng, S.F. Yau, and Y. Bresler, "A multicoset sampling approach to the missing cone problem in computer aided tomography,'' in Proc. IEEE Int. Symposium Circuits and Systems, Atlanta, GA, vol. II, pp. 734--737, May 1996.

 

Deconvolution and Inverse Problems in Imaging

 

JOURNAL ARTICLES

·         O. Lee, J.M Kim, Y. Bresler, and J.C Ye, ”Compressive Diffuse optical tomography: Noniterative exact reconstruction using joint sparsity,” in IEEE Tans. Medical Imaging, Spec. Issue Compressive Sensing, vol. 30, no. 5, pp. 1129-1142, May 2011.

·         M. Jacob, Y. Bresler, V. Toronov, X. Zhang, and A. Webb, "A level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging", J. Biomedical Optics, Vol. 11, No. 6, 064029, Nov. 2006.

·         J. C. Ye, Y. Bresler, and P. Moulin, "A self-referencing level-set method for image reconstruction from sparse Fourier samples," Int. J. Comp. Vision, vol. 50, no. 3, pp. 253-70, Dec. 2002.

·         G. Harikumar and Y. Bresler, ``Exact image deconvolution from multiple FIR blurs,'' IEEE Trans. Image Processing, June 1999.

·         G. Harikumar and Y. Bresler, ``Blind restoration of images blurred by multiple filters: theory and efficient algorithms,'' IEEE Trans. Image Processing, vol. 8, pp. 202--219, Feb. 1999.

·         G. Harikumar and Y. Bresler, `` FIR perfect signal reconstruction from multiple convolutions: Minimum deconvolver orders'' IEEE Trans. Signal Processing, pp. Jan. 1998.

 

CONFERENCES

 

·         O.K. Lee, J.M Kim, Y. Bresler, J.C Ye, ”Diffuse optical tomography using generalized MUSIC algorithm,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, March 2011.

·         S. Ravishankar and Y. Bresler, ”Highly undersampled MRI using adaptive sparse representations,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, March 2011.

·         J.C. Ye, S. Y. Lee, and Y. Bresler, "Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation," Proc. IEEE Int. Symposium on Biomedical Imaging. (ISBI-2008), pp. 5129-5132, 2008.

·         Q. Dinh, Y. Bresler, and Dem. Chen, "Hardware acceleration for sparse Fourier image reconstruction," in ASICON-2007 - 7th International Conference on ASIC Proceeding, Guilin, China, pp. 1346-1351, 2007.

·         M. Jacob, V. Toronov, Y. Bresler, X. Zhang, A. Webb, "Reconstruction of functional activations in near infrared spectroscopic imaging," Proc. IEEE Symposium on Biomedical Imaging, pp. 594-597, April 2006.

·         V. Toronov, M.Jacob, A. Webb, and Y. Bresler, "A new level-set algorithm for the diffuse optical imaging of the brain," in Proc. SPIE vol. 6085, pp. 60850-, San Jose, California, Jan. 2006.

·         J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse Fourier samples,'' in Proc. IEEE Int. Conf. Image Proc., ICIP, Thesaloniki, Greece, vol. 2, pp. 33-36, Oct. 2001.

·         J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse fourier samples,'' in IEEE Workshop on Variational and Level Set Methods in Computer Vision, Vancouver, CA, July 2001.

·         J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse Fourier samples,'' in Proc. IEEE Int. Conf. Image Proc., ICIP, Thesaloniki, Greece, Oct. 2001.

·         J.C.Ye, Y. Bresler, and P. Moulin, ``Fourier descriptors for parametric shape estimation in nonlinear inverse scattering problems,'' in Signal Processing, Sensor Fusion, and Target Recognition, Proc. SPIE vol. 4052, pp. 309-320, Orlando FL  Apr. 2000.

·         J. Benson, Y. Bresler, and Jr. G. W. Swenson, ``Interferometric passive acoustic imaging through the near-ground atmosphere,'' in Meeting Acoustical Society of America, Chicago, June 2001.

·         G. Harikumar and Y. Bresler, ``Channel order estimation for multichannel blind image recovery,'' invited paper in Proc. IEEE Asilomar Conf., Pacific Grove, CA, Oct. 1998.

·         G. Harikumar and Y. Bresler, ``An efficient algorithm for the blind recovery of images blurred by multiple filters,'' in Proc. 3rd IEEE Int. Conf. on Image Processing, ICIP'96, (Zurich, Switzerland), vol. III, pp. 97--100, Sept. 1996.

·         G. Harikumar and Y. Bresler, ``Analysis and comparative evaluation of techniques for multichannel blind deconvolution,'' in Proc. SSAP-96, 8th SP Workshop on Stat. Sig. and Array Process., (Corfu, Greece), {IEEE}, pp. 332--335, June 1996.

·         G. Harikumar and Y. Bresler, ``A new algorithm for computing sparse solutions to linear inverse problems,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Atlanta, GA), vol. 3, pp. 1331--134, May 1996.

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Magnetic Resonance Imaging

 

JOURNAL ARTICLES

 

·         S. Ravishankar and Y. Bresler, ”MR Image Reconstruction From Highly Undersampled k-space Data by Dictionary Learning,” IEEE Tans. Medical Imaging, Spec. Issue Compressive Sensing, vol. 30, no. 5, pp. 1028-1041, May 2011.

·         B. Sharif, J. A. Derbyshire, A. Z. Faranesh, Y. Bresler, "Patient-Adaptive Reconstruction and Acquisition in Dynamic Imaging with Sensitivity Encoding (PARADISE),'' Magnetic Resonance in Medicine, , 64(2),  501–513, 2010

·         Aggarwal N, Bresler Y.  Patient-adapted reconstruction and acquisition dynamic imaging method (PARADIGM) for MRI. Inverse Problems, 24 045015 (29pp), 2008.

·         J. C. Ye, Y. Bresler, and P. Moulin, "A self-referencing level-set method for image reconstruction from sparse Fourier samples," International Journal of Computer Vision, vol. 50, no. 3, pp. 253-70, December 2002.

 

 

CONFERENCES

 

·          S. Ravishankar and Y. Bresler, "Multiscale Dictionary Learning for MRI,"  Proc. International Society for Magnetic Resonance in Medicine, ISMRM-2011, Abstract No. 2830, May 2011.

·         S. Ravishankar and Y. Bresler, ”Highly undersampled MRI using adaptive sparse representations,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, pp. 1585-1588, March 2011.

·         B. Sharif and Y. Bresler, ”Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, pp. 52-56, March 2011.

·         B. Sharif, J. A. Derbyshire, and Y. Bresler, "High Spatio-temporal Fidelity Non-gated Cardiac MRI with a 3 Second Patient-Adaptive Scan," to appear in Proc. 18th Intl. Soc. Mag. Reson. Med. (ISMRM), Stockholm, Abs. No. 1558, May 2011.  

·         B. Sharif and Y. Bresler, "Auto-Calibrated Parallel Imaging using a Distortion-Optimal Filter Bank," to appear in Proc. 18th Intl. Soc. Mag. Reson. Med. (ISMRM), Stockholm, Abs. No. 926, May 2010.  

·         B. Sharif, J. A. Derbyshire, A. Z. Faranesh, R. J. Lederman, and Y. Bresler, "Real-time Non-gated Cardiac MRI Using PARADISE: Doubly Adaptive Accelerated Imaging," Proc. 17th Intl. Soc. Mag. Reson. Med. (ISMRM), Honolulu, April 2009, p. 767.  

·         B. Sharif, J. A. Derbyshire, and Y. Bresler, "Prospective SNR Optimization in k-t-based Sensitivity-encoded Dynamic Imaging Using a Fast Geometric Algorithm," Proc. 17th Intl. Soc. Mag. Reson. Med. (ISMRM), Honolulu, April 2009, p. 2729.  

·         B. Sharif, J. A. Derbyshire, A. Z. Faranesh, R. J. Lederman, and Y. Bresler, "Real-time Shallow-breathing Cardiac MRI Using Patient-adaptive Parallel Imaging," Proc. 17th Intl. Soc. Mag. Reson. Med. (ISMRM), Honolulu, p. 4568, April 2009.  

·         B. Sharif and Y. Bresler, "Self-calibrating MIMO Reconstruction in Multichannel MRI," Proc. SIAM Conf. on Imaging Science, San Diego, CA, July 2008, p. 133.

·         B. Sharif and Y. Bresler, "Upper Bounds on Aliasing Error Energy for Multidimensional Sampling of Nonbandlimited Signals," Proc. IEEE Inter. Conf. on Signal Processing (ICASSP'08), Las Vegas, March 2008, pp. 3717-3720.  

·         B. Sharif, N. Aggarwal, and Y. Bresler, "PARADISE: Patient-Adaptive Reconstruction and Acquisition in Dynamic Imaging with Sensitivity Encoding," Proc. 15th Intl. Soc. Mag. Reson. Med. (ISMRM), Berlin, p. 151, May 2007.  

·         B. Sharif and Y. Bresler, "Physiologically Improved NCAT Phantom (PINCAT) Enables in-silico Study of the Effects of Beat-To-Beat Variability on Cardiac MR," Proc. 15th Intl. Soc. Mag. Reson. Med. (ISMRM), Berlin, p. 3418, May 2007.  

·         Y. Bresler, N. Aggarwal, B. Sharif, "Patient-Adaptive Spatiotemporal MRI: From PARADIGM to PARADISE and Beyond," Proc. IEEE Inter. Symp. on Biomedical Imaging (ISBI'07), Arlington, VA, pp. 980-983, Apr. 2007.  

·         B. Sharif and Y. Bresler, "Affine-Corrected PARADISE: Free-Breathing Patient-Adaptive Cardiac MRI with Sensitivity Encoding,'' Proc. IEEE Inter. Symp. on Biomedical Imaging (ISBI'07), Arlington, VA, pp. 1076-1079, Apr. 2000.  

·         B. Sharif and Y. Bresler, "Adaptive Real-Time Cardiac MRI Using PARADISE: Validation by the Physiologically Improved NCAT Phantom,'' Proc. IEEE Inter. Symp. on Biomedical Imaging (ISBI'07), Arlington, VA, pp. 1020-1023, Apr. 2007.  

·         B. Sharif and Y. Bresler, "Optimal Multi-Channel Time-Sequential Sampling in Dynamic Parallel MRI,'' Proc. SIAM Conf. on Imaging Science, Minneapolis, p. 75, May 2006.  

·         N. Aggarwal and Y. Bresler, "Minimal Sampling Requirements for Region-of-Interest Fourier Imaging," Proc. SIAM Conference on Imaging Science, May 2006.

·         B. Sharif and Y. Bresler, "Optimal Multi-Channel Time-Sequential Acquisition in Dynamic MRI with Parallel Coils,'' Proc. IEEE Inter. Symp. on Biomedical Imaging (ISBI'06), Arlington, VA, , pp. 45-48, Apr. 2006.  

·         N. Aggarwal and Y. Bresler, "Region-of-interest MRI: k-space sampling conditions," Proc. 3rd  IEEE International Symposium on Biomedical Imaging: Macro to Nano, pp. 41-44, 2006.

·         N. Aggarwal, Y. Bresler, and B. Sutton, "Adaptive Dynamic Imaging in Cardiac MR Fluoroscopy: First in-Vivo Results", Proc. International Society on Magnetic Resonance in Medicine, vol. 2006, p. 205, May 2006.

·         N. Aggarwal and Y. Bresler, “Adaptive un-gated cardiac MR fluoroscopy: Validation by a dynamic phantom study,” in Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2005, Miami Beach, Fla., p. 2689, May 2005.

·         N. Aggarwal and Y. Bresler, “Optimum k-space sampling for parallel MRI with large acceleration,” in Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2005, Miami Beach, Fla., May 2005.

·         N. Aggarwal Y.Bresler, ``Spatio-temporal modeling and adaptive acquisition for free-breathing cardiac Magnetic Resonance Imaging,'' 2nd SIAM Conference on Imaging Science, Salt Lake City, May 2004.

·         N. Aggarwal, S. Bandyopadhyay, and Y. Bresler, ``Spatio-temporal modeling and adaptive acquisition for cardiac MRI,'' in Proc. 2nd  IEEE Int. Symp. Biomedical Imaging, ISBI-2004, Washington DC, pp. 628—631, Apr. 2004.PDF

·         N. Aggarwal and Y. Bresler,  ``Accelerated parallel magnetic resonance imaging by adaptive k-space sampling,'' Proc. 2nd  IEEE Int. Symp. Biomedical Imaging, SBI-2004, Washington DC, pp. 892-895, Apr. 2004.PDF

·         N. Aggarwal and Y. Bresler, ``Optimal sampling in parallel magnetic resonance imaging,'' in Proc. IEEE Int. Conf. Image Process., ICIP-2003, Barcelona, Spain, pp. 737--740, Sept. 2003. PDF

·         Y. Bresler, "Fast acquisition and sampling in MRI: Introduction to time-sequential sampling of spatio-temporal signals," in Proc. 1st IEEE Int.Symp. Biomed. Imag. ISBI-2002, Washington, DC, pp. 713-16, July 2002. PDF

·         N. Aggarwal, Q. Zhao and Y. Bresler, "Spatio-temporal modeling and minimum redundancy adaptive acquisition in dynamic MRI," in Proc. 1st IEEE Int.Symp. Biomed. Imag. ISBI-2002, Washington, DC, pp. 737-40, July 2002. PDF

·         N. Aggarwal, Q. Zhao, and Y. Bresler, ``A time-warped spectral model for minimum redundancy sampling in cardiac imaging,'' in Proc. Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2002, Honolulu, Hawaii, pp. 2378, May 2002. PDF

·         N. Aggarwal, and Y. Bresler, ``Minimum redundancy nonuniform sampling in MRI using statistical criteria,'' in Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2002, Honolulu, Hawaii, pp. 2363, May 2002. PDF

·          Q. Zhao, N. Aggarwal, and Y. Bresler, ``Dynamic magnetic resonance imaging based on optimal sampling and time-varying harmonic model,'' in Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2002, Honolulu, Hawaii, pp. 2366 , May 2002. PDF

·         Y. Bresler, ``Optimum time-sequential sampling for imaging of time varying objects: Applications in tomography and MRI,''  SIAM Conference on Imaging Science, Boston, March 2002.

·         Q. Zhao, N. Aggarwal, and Y. Bresler, ``Dynamic imaging of time-varying objects,'' in Proc. ISMRM 2001, Glasgow, Scotland, p. 1776, Apr. 2001.

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Tomography

 

JOURNAL ARTICLES

 

·         O. Lee, J.M Kim, Y. Bresler, and J.C Ye, ”Compressive Diffuse optical tomography: Noniterative exact reconstruction using joint sparsity,” in IEEE Tans. Medical Imaging, Spec. Issue Compressive Sensing, vol. 30, no. 5, pp. 1129-1142, May 2011.

·         A.K. George and Y. Bresler, ``Fast tomographic reconstruction via rotation-based hierarchical backprojection,'' SIAM J. Appl.Math, vol.68, pp. 574 - 589, Dec. 2007

·         A.K. George and Y. Bresler, “Shear-based Fast Hierarchical Backprojection for Parallel-Beam Tomography,” IEEE Trans. Medical Imaging, Vol. 26 No. 3, pp. 317-334, March 2007.

·         S. Levy, D. Adam, and Y. Bresler, "Electro-Magnetic Impedance Tomography (EMIT): a New Method for Impedance Imaging,"  IEEE Trans. Med. Imaging , vol. 21, no. 6, pp. 676--87, June 2002. PDF

·         S. Basu and Y. Bresler, "O(N^3 log N) backprojection algorithm for the 3D Radon transform," IEEE Trans. Medical Imaging, Vol. 21, No. 2 , pp. 76-88, Feb 2002. PDF

·         S. Basu and Y. Bresler, "Error analysis and performance optimization in fast hierarchical backprojection algorihtms," IEEE Trans. Image Processing, vol. 10, no. 7, pp. 1103 -1117, July 2001.  PDF

·         S. Basu and Y. Bresler, "An O(n^2\log n) filtered backprojection reconstruction algorithm for tomography," IEEE Trans. Image Processing, vol. 9, pp. 1760--1773, Oct. 2000. PDF

·         A. Boag, Y. Bresler, and E. Michielssen, "A multilvel domain decomposition algorithm for fast O(N^2\log N) reprojection of tomographic images," IEEE Trans. Image Processing, vol. 9, pp. 1573--1582, Sep. 2000. PDF

·         S.K. Basu and Y. Bresler, "Uniqueness of tomography with unknown view angles," IEEE Trans. Image Processing, vol. 9, pp. 1094-1106, June 2000. PDF

·         S.K. Basu and Y. Bresler, "Feasibility of tomography with unknown view angles," IEEE Trans. Image Processing, vol. 9, pp. 1107-1122, June 2000.  PDF

·         A. H. Delaney and Y. Bresler, ``Globally convergent edge-prserving regularized reconstruction: an application to limited-angle tomography,'' IEEE Trans. Image Processing, Feb. 1998.PDF

·         A. H. Delaney and Y. Bresler, ``A fast and accurate iterative reconstruction algorithm for parallel-beam tomography,'' IEEE Trans. Image Processing, pp. 740--753, May 1996. PDF

·         A. H. Delaney and Y. Bresler, ``Multiresolution tomographic reconstruction using wavelets,'' IEEE Trans. Image Processing, pp. 799--814, June 1995. PDF

·         N. P. Willis and Y. Bresler, ``Optimal scan design for time varying tomographic imaging {II}: Efficient design and experimental validation,'' IEEE Trans. Image Processing, pp. 654--666, May 1995. PDF

·         N. P. Willis and Y. Bresler, ``Optimal scan design for time varying tomographic imaging {I}: Theoretical analysis and fundamental limitations,'' IEEE Trans. Image Processing, pp. 642--653, May 1995. PDF

·         T. D. Raymund, Y. Bresler, and R. E. Daniell, ``Model-assisted ionospheric tomography: A new algorithm,'' Radio Science, vol. 29, pp. 1493--1512, Nov. 1994.

·         Y. Bresler, J. Fessler, and A. Macovski, ``A Bayesian approach to reconstruction from incomplete projections of a multiple object 3Ddomain,'' IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 840--858, Aug. 1989.

·         Y. Bresler, J. Fessler, and A. Macovski, ``Model based estimation techniques for 3-D reconstruction from projections,'' Machine Vision and Applications, vol. 1, no. 2, pp. 115--126, 1988.

·         Y. Bresler and A. Macovski, ``3-D reconstruction from projections with incomplete and noisy data by object estimation,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 1139--1152, Aug. 1987.

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CONFERENCES

·         O.K. Lee, J.M Kim, Y. Bresler, J.C Ye, ”Diffuse optical tomography using generalized MUSIC algorithm,” in Proc. 2011 IEEE Int.Symp. Biomedical Imaging (ISBI-2011), Chicago, March 2011.

·         J. Brokish, D.B. Keesing, and Y. Bresler, "Iterative circular conebeam CT reconstruction using fast hierarchical backprojection/reprojection operators", Medical Imaging 2010: Physics of Medical Imaging, Ehsan Samei; Norbert J. Pelc, Editors, Proceedings of SPIE Vol. 7622, DOI: 10.1117/12.844026, March 2010.

·         J. Brokish, P. Sack, and Y. bresler, "Combined algorithmic and GPU acceleration for ultra-fast circular conebeam backprojection", Medical Imaging 2010: Physics of Medical Imaging, Ehsan Samei; Norbert J. Pelc, Editors, Proceedings of SPIE Vol. 7622, DOI: 10.1117/12.844028 March 2010.

·         Y. Bresler, "Fast acquisition and reconstruction in imaging enabled by sampling theory," in Proc. SPIE Conference Computed Imaging, Vol. 6814-1, Jan. 2008

·         J.C. Ye, S. Y. Lee, and Y. Bresler, "Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation," Proc. IEEE Int. Symposium on Biomedical Imaging. (ISBI-2008), pp. 5129-5132, 2008.

·         A. K. George, M. Butala, R.Frazin, F.Kamalabadi, Y., "Time-resolved cardiac ct reconstruction using the ensemble kalman filter," in Proc. IEEE Int. Symposium on Biomedical Imaging (ISBI-2008), pp. 1489-1492, 2008.

·         J. Brokish and Y. Bresler, ``Combined algorithmic and hardware acceleration for ultra-fast backprojection,'' in MIC 2007 IEEE Nuclear Science Symposium Conference Record, Honolulu, Hawaii, USA, pp. 3915--3918, 2008.

·         J. Brokish and Y. Bresler, ``Ultra-fast hierarchical backprojection for Micro-CT reconstruction,'' in MIC-2007 IEEE Nuclear Science Symposium Conference Record, Honolulu, Hawaii, USA, pp. 4460--4463, 2007.

·         A.K. George and Y. Bresler, "Fast Shear-like Divergent-Beam Backprojection Algorithms", MIC-2006 IEEE Nuclear Science Symposium Conference Record, Vol. 6, pp. 3463 -- 3466, Nov. 2007.

·         J. Brokish and Y. Bresler, "Sampling Requirements for Circular Cone Beam Tomography," MIC-2006 IEEE Nuclear Science Symposium Conference Record, Vol. 5, pp. 2882- 2884, Nov. 2007.

·         A.K. George and Y. Bresler, "A fast and accurate decimation-in-angle hierarchical fan-beam backprojection algorithm," Proc. 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, pp. 1188-91, 2006.

·         A.K. George and Y. Bresler, "Improving The Sampling Efficiency of Fast Tomographic Backprojection Algorithms,", Society for Industrial and Applied Mathematics conference on Imaging Science, May 2006.

·         A. K. George and Y. Bresler, "A fast and accurate decimation-in-angle hierarchical fan-beam backprojection algorithm", Proc. IEEE Symposium on Biomedical Imaging, pp. 1188 -- 1191, April 2006.

·         A.K. George and Y. Bresler, "Fast and accurate decimation-in-angle hierarchical backprojection algorithms," in IEEE Medical Imaging Conference MIC-05, Nuclear Science Symposium Conference Record, Volume 3, pp. 1546-1550, Oct. 2005.

·         J. Brokish and Y. Bresler, "Noise performance of fast hierarchical 3D backprojection for helical cone-beam tomography," in IEEE Medical Imaging Conference MIC-05, Nuclear Science Symposium Conference Record, Volume 4, pp. 1860-1862, Oct. 2005.

·         J. Brokish and Y. Bresler, "Sampling requirements for region of interest reconstruction in fan-beam tomography," in IEEE Medical Imaging Conference MIC-05, Nuclear Science Symposium Conference Record, Volume 4, pp. 1867-1870,Oct. 2005.

·         A.K. George and Y. Bresler, ``Fast Decimation in Angle Backprojeciton Algorithms for Tomography,'' 2nd SIAM Conference on Imaging Science, Salt Lake City, pp. 25, May 2004.

·         Y. Bresler and J. Brokish,  "A hierarchical algorithm for fast backprojection in helical cone-beam tomography," in  Proc. 2nd IEEE Int. Symp. Biomedical Imaging, ISBI-2002, Washington DC, pp. 1420-1423, April 2004.PDF

·         Y. Bresler and J. Brokish, ``Fast hierarchical backprojection for helical cone-beam tomography,'' Proc. International Conference on Image Processing, ICIP-2003, Barcelona, Spain, vol.~2, pp. 815--818, Sept. 2003. PDF

·         S. Xiao, Y. Bresler, and D.C. Munson, ``Fast Feldkamp algorithm for cone-beam computer tomography,'' Proc. International Conference on Image Processing, ICIP-2003, Barcelona, Spain, vol.~2, pp. 819--822, Sept. 2003. PDF

·         S. Xiao, Y. Bresler, and D.C. Munson, ``O(N^2\log N) native fan-beam tomographic reconstruction,'' in  Proc. 1st IEEE Int. Symp. Biomedical Imaging, ISBI-2002, Washington, DC, pp. 824--827, July 2002. PDF

·         S. Xiao, D.C. Munson, S.K. Basu, and Y. Bresler, "An N^2 logN back-projection algorithm for SAR image formation,"  Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 3 - 7, Nov. 2000. PDF

·         Amir Boag, Yoram Besler, and Eric Michielssen, ``A multilvel domain decomposition algorithm for fast O(N^2\log N) reprojection of tomographic images,'' in Proc. IEEE Int. Conf. Image Proc., ICIP, Vancouver, Sept. 2000.

·         S. Basu and Y. Bresler, ``Feasilibity of tomography with unknown view angles,'' in Proc. IEEE Int. Conf. Image Proc., ICIP , vol. 2, pp. 15--19, Chicago, Oct. 1998.

·         S. Basu and Y. Bresler, ``Tomography with Unknown View Angles,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Munich, Germany), Vol. 4, pp. 2849-2852, Apr. 1997.

·         P. Feng, S.F. Yau, and Y. Bresler, "A multicoset sampling approach to the missing cone problem in computer aided tomography,'' in Proc. IEEE Int. Symposium Circuits and Systems, Atlanta, GA, vol. II, pp. 734--737, May 1996.

·         A. H. Delaney and Y. Bresler, ``A fast iterative reconstruction algorithm,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., vol. 4, (Detroit,MI), pp. 2295--2298, {IEEE}, May 1995.

·         Y. Bresler, ``Some recent results in tomography,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., vol. 5, (Detroit,MI), pp. 2903--2906, {IEEE}, May 1995.

·         A. H. Delaney and Y. Bresler, ``Multiresolution tomographic reconstruction using wavelets,'' in Proc. 1st IEEE Int. Conf. on Image Processing, vol. II, (Austin, Texas), pp. 830--834, Nov. 1994.

·         I. B. Kerfoot and Y. Bresler, ``Theoretical analysis of a multiscale algorithm for the direct segmentation of tomographic images,'' in Proc. First IEEE Intern. Conf. on Image Processing, vol. II, (Austin, TX), pp. 177--181, Nov. 1994.

·         Y. Bresler and N. P. Willis, ``Scan-rate reduction for tomographic imaging of time varying distributions,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1905, (San Jose, CA), pp. 934--945, Feb. 1993.

·         Y. Bresler and N. P. Willis, ``Analysis and design of minimum scan-rate tomographic acquisition of time-varying distributions,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Minnesota), pp. 487--490, Apr. 1993.

·         N. P. Willis and Y. Bresler, ``Optimal scan design for tomographic imaging of time varying distributions,'' in Proc. Int. Symp. Circuits and Systems, (Singapore), June 1991.

·         N. P. Willis and Y. Bresler, ``Tomographic imaging of time varying distributions,'' in Proc. SPIE/SPSE Conf. on Biomed. Image Proc., (Santa Clara, CA), pp. 111--123, Feb. 1990.

·         Y. Bresler and C. J. Skrabacz, ``Optimum interpolation in helical scan computerized tomography,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Glasgow, Scotland), pp. 1472--1475, May 1989.

·         Y. Bresler, ``Estimation techniques for reconstruction from projections,'' in Proc. IEEE Asilomar Conf., pp. 680--684, 1987.

·         Y. Bresler and A. Macovski, ``Estimation of 3-d shape of blood vessels from x-ray images,'' in Proc. IEEE Int. Symp. Med. Images & Icons, (Arlington, VA), pp. 251--253, July 1984.

·         Y. Bresler and A. Macovski, ``A hierarchical Bayesian approach to reconstruction from projections of a multiple object 3-d scene,'' in  Proc. 7th International Conference on Pattern Recognition, (Montreal, Canada), pp. 455--457, Aug. 1984.

·         Y. Bresler and A. Macovski, ``3-D reconstruction from projections with incomplete and noisy data by object estimation,'' in Proc. Int. Conf. on Computers, Systems & Signal Process., (Bangalore, India), pp. 1795--1800, Dec. 1984.

·         Y. Bresler and A. Macovski, ``3-D reconstruction from projections based on dynamic object models,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (San Diego, CA), pp. 12A.1.1--12A.1.4, Mar. 1984.

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Sampling and Interpolation (“Classical”)

JOURNAL ARTICLES

 

·         R. Venkataramani and Y. Bresler, "Multiple-Input Multiple-Output Sampling: Necessary Density Conditions,"  IEEE Trans. Information Theory., vol. 50, pp. 1754-1768, Aug. 2004.

·         R. Venkataramani and Y. Bresler, "Sampling Theorems for Uniform and Periodic Nonuniform MIMO Sampling of Multiband Signals," IEEE Trans. Signal Process., v. 51, no. 12, pp. 3152-63, Dec. 2003.PDF

·         R. Venkataramani and Y. Bresler, "Filter Design for MIMO Sampling and Reconstruction," IEEE Trans. Signal Process., v. 51, no. 12,  p 3164-76, Dec. 2003. PDF

·         S.Basu and Y.Bresler, "An empirical study of minimax-optimal fractional delays for lowpass signals," IEEE Trans. Circuits Syst. II, vol. 49, No. 4, pp. 288-292, April 2002.

·         R. Venkataramani and Y. Bresler, "Optimal sub-Nyquist nonuniform sampling and reconstruction of multiband signals," IEEE Trans.Signal Processing , vol. 49, no. 10, pp. 2301 -2313, Oct. 2001. PDF

·         R. Venkataramani and Y. Bresler, "Perfect reconstruction formulae and bounds on aliasing error in sub-Nyquist sampling of multiband signals," IEEE Trans. Information Theory, vol. 46, pp. 2173--83, Sep. 2000.  PDF

·         N. P. Willis and Y. Bresler, ``Lattice-theoretic analysis of time-sequential sampling of spatio-temporal signals Part II: Large space-bandwidth-product asymptotics,'' IEEE Trans. Infor. Theory, pp. 208-220, Jan. 1997. PDF

·         N. P. Willis and Y. Bresler, ``Lattice-theoretic analysis of time-sequential sampling of spatio-temporal signals Part I,'' IEEE Trans. Infor. Theory, pp. 190-207, Jan. 1997. PDF

·         Y. Bresler, ``Bounds on the aliasing error in multidimensional shannon sampling,'' IEEE Trans. Infor. Theory, pp. 2238-2241, Nov. 1996.  PDF

·         N. P. Willis and Y. Bresler, ``Norm invariance of minimax-optimal interpolation,'' IEEE Trans. Infor. Theory, pp. 1177--1181, May 1992. (Top)

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CONFERENCES

 

·         B. Sharif and Y. Bresler, "Upper bounds on the aliasing error energy for multidimensional sampling of non-bandlimited signals," in Proc. IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP-2008, pp. 3717-3720, 2008.

·         Y. Bresler and N. Venkataramani, "Optimal sampling and reconstruction in multiple-input- multiple-output (mimo)systems," in Proc. Int. Conf. Sampling Theory and applications SampTa-2005, Samsun, Turkey, 2005

·         R. Venkataramani and Y. Bresler, ``Necessary conditions for {MIMO} sampling of multiband inputs,'' Proc. Internationanl Symposium on Information
Theory ISIT-2002
, Lausanne, Switzerland, June 2002.

·         R. Venkataramani and Y. Bresler, ``Sub-Nyquist Sampling of Multiband Signals: Perfect Reconstruction and Bounds on Aliasing Error,'' in Proc. IEEE Int. Conf. Acoust. Speech, Sig. Proc., Seatle, WA, vol. 3, pp. 1633--1636, Apr. 1998.

·         P. Feng, S.F. Yau, and Y. Bresler, ``A multicoset sampling approach to the missing cone problem in computer aided tomography,'' in Proceedings IEEE Int. Symposium Circuits and Systems, (Atlanta, GA), Vol. 2, pp. 734--737, May 1996. 

·         P. Feng and Y. Bresler, ``Spectrum-blind minimum-rate sampling and reconstruction of multiband signals,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Atlanta, GA), {IEEE}, vol. 3, pp. 1689--1692, May 1996.

·         Y. Bresler, ``Unified time-sequential sampling theory for spatio-temporal signals,'' in Proc. 12th IAPR Int. Conf. Pattern Recog./Signal Process., vol. III, (Jerusalem, Israel), pp. 47--52, Oct. 1994. (invited special presentation)

·         Y. Bresler and N. P. Willis, ``Unified theory of time-sequential sampling,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1903, (San Jose, CA), pp. 37--50, Feb. 1993

·         N. P. Willis and Y. Bresler, ``A new approach to the time-sequential sampling problem,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (San Francisco), Mar. 1992.

·         N. P. Willis and Y. Bresler, ``New results on time-sequential sampling,'' in Proc. 7th Workshop on Multidimensional Signal Proces., (Lake Placid, NY), Sept. 1991.

 

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Statistical Imaging and Image Processing

JOURNAL ARTICLES

·         J.C. Ye, P. Moulin, and Y.Bresler, ``Asymptotic global confidence regions for 3-D parametric shape estimation in inverse problems,'' IEEE Trans. Image Processing, v. 15, n 10, pp. 2904-2919, Oct. 2006.

·         J.C.Ye, Y. Bresler, and P.Moulin, "Cramer-Rao bounds for parametric shape estimation in inverse problems,"  IEEE Trans. Image Processing, no. 1, pp. 71--84, Jan. 2003.

·         J. C. Ye, Y. Bresler, and P. Moulin, "A self-referencing level-set method for image reconstruction from sparse Fourier samples," International Journal of Computer Vision, vol. 50, no. 3, pp. 253-70, December 2002.

·         J.C.Ye, Y. Bresler, and P. Moulin, "Cramer-Rao Bounds for Parametric Boundaries of Targets in Inverse Scattering Problems," IEEE Trans. on Antennas and Propagat.,vol. 49 No. 5, pp. 2301 -2313, May 2001. (gzipped postscript) (pdf)

·         J.C. Ye, Y. Bresler, and P. Moulin, ``Global confidence regions in parametric shape estimation'' IEEE Trans. Infor. Theory, vol. 46, no. 5, pp. 1881--1895, Aug. 2000. (gzipped postscript)

·         I. B. Kerfoot and Y. Bresler, ``Theoretical analysis of multichannel MRF image segmentation algorithms,'' IEEE Trans. Image Processing, June 1999.Postscript

·         G. Harikumar and Y. Bresler, ``Feature extraction techniques for exploratory visualization of vector-valued imagery,'' IEEE Trans. Image Processing, pp. 1324--1334, Sept. 1996.Postscript

·         S. F. Yau and Y. Bresler, ``Image restoration by complexity regularization via dynamic programming,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (San Francisco), Mar. 1992.

·         S. F. Yau and Y. Bresler, ``Image restoration by dynamic programming,'' in {\em Proc. 7th Workshop on Multidimensional Signal Proces., (Lake Placid, NY), Sept. 1991.

·         Y. Bresler and S. Merhav, ``Recursive image registration with applications to motion estimation,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 70--85, Jan. 1987.

·         Y. Bresler and S. J. Merhav, ``On-line vehicle motion estimation from visual terrain information {P}art {II}: {G}round velocity and position estimation,'' IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, pp. 588--603, Sept. 1986.

·         S. J. Merhav and Y. Bresler, ``On-line vehicle motion estimation from visual terrain information {P}art {I}: {R}ecursive image registration,'' IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, pp. 583--587, Sept. 1986.

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ARTICLES IN EDITED VOLUMES

·         R. Boesel and Y. Bresler, ``Bayes-optimal visualization of vector fields,'' in Maximum Entropy and Bayesian Methods in Science and Engineering (A. Mohammad-Djafari and G. demoment, eds.), Fundamental Theories of Physics, pp. 31--38, Dordrecht: Kluwer, 1993.

·         I. B. Kerfoot and Y. Bresler, ``Theoretical performance analysis of Bayesian and information-theoretic image segmentation criteria,'' in Maximum Entropy and Bayesian Methods in Science and Engineering (A. Mohammad-Djafari and G. Demoment, eds.), Fundamental Theories of Physics, pp. 55--62, Dordrecht: Kluwer, 1993.

CONFERENCES

·         J. C. Ye, P. Moulin, and Y. Bresler, "Asymptotic global confidence regions for 3-D parametric shape estimation in inverse problems," 2005 IEEE/SP 13th Workshop on Statistical Signal Processing, pt. 1, pp. 471-6 Vol. 1, 2005.

·         J.C.Ye, Y. Bresler, and P. Moulin, ``Crame'r-Rao bounds for parametric boundaries of targets in passive radar problems,'' in Proc. SPIE's Annual Meeting, Orlando, Apr. 2000. (Invited Paper)

·         J.C.Ye, Y. Bresler, and P. Moulin, ``Global confidence regions in parametric shape estimation,'' in Proc. IEEE int. Conf. Acoust. Speech Sig. Proc., Istanbul, June 2000.

·         G. Harikumar and Y. Bresler, ``Vector field visualization: Analysis of feature extraction methods,'' in Proc. 1st IEEE Int. Conf. on Image Processing, vol. II, (Austin, Texas), pp. 51--55, Nov. 1994.

·         G. Harikumar and Y. Bresler, ``Analysis of projection indices for visualization of vector fields by projection pursuit,'' in Proc. 12th IAPR Int. Conf. Pattern Recog./Signal Process., vol. III, (Jerusalem, Israel), pp. 103--108, Oct. 1994.

·         G. Harikumar and Y. Bresler, ``Vector field visualization by projection pursuit: Analysis of projection indices,'' in Proc. SPIE Symp. on Visual Comm. and Image Proc., VCIP'94, (Chicago), pp. 942--953, Sept. 1994.

·         Y. Bresler, ``Optimum visualization of vector fields and multi-sensor fusion,'' in Proc. 7th SP Workshop on Stat. Sig. and Array Process., (Quebec City, Canada), pp. 91--96, June 1994.  (invited plenary talk).

·         I. B. Kerfoot and Y. Bresler, ``Information-theoretic segmentation criteria for vector fields: Analysis and design,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Minnesota), pp. 5--8, Apr. 1993.

·         R. Boesel and Y. Bresler, ``Bayes-optimal visualization of vector fields,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1913, (San Jose, CA), pp. 570--581, Feb. 1993.

·         G. Harikumar and Y. Bresler, ``Variations on projection pursuit for multi-parameter image visualization,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1905, (San Jose, CA), pp. 356--367, Feb. 1993.

·         I. B. Kerfoot and Y. Bresler, ``Mean field and information-theoretic algorithms for direct segmentation of tomographic images,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1905, (San Jose, CA), pp. 956--963, Feb. 1993.

·         I. B. Kerfoot and Y. Bresler, ``Design and analysis of an information-theoretic algorithm for vector field segmentation,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1904, (San Jose, CA), pp. 92--103, Feb. 1993.

·         R. Boesel and Y. Bresler, ``A new paradigm for optimal multi-parameter image visualization,'' in Second Conference on Visualization in Biomedical Computing-VBC'92, (Chapel Hill, NC), Oct. 1992.

·         G. Harikumar and Y. Bresler, ``Multi-parameter image visualization by projection pursuit,'' in Second Conference on Visualization in Biomedical Computing-VBC'92, 1992.

·         R. Boesel and Y. Bresler, ``Bayes-optimal visualization of vector fields,'' in Twelfth International MaxEnt Workshop, (Paris), July 1992.

·         I. B. Kerfoot and Y. Bresler, ``Theoretical performance analysis of bayesian and information-theoretic image segmentation criteria,'' in Twelfth International MaxEnt Workshop, (Paris), July 1992.

·         D. Rachlin, Y. Bresler, A. Macovski, and F. Sommer, ``Analysis and comparison of proposed methods for estimating intensity in speckle degraded b-scans,'' in Ultrasonic Imaging, vol. 9, 1987.

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Source Coding and Data Compression

JOURNAL ARTICLES

·         D. Baron and Y. Bresler, "An O(N) semipredictive universal encoder via the BWT," IEEE Trans. Information Theory, Vol. 50 , No.  5, pp. 928 - 937, May 2004. PDF

·         D. Baron and Y. Bresler, "Antisequential suffix sorting for BWT-based data compression,'' IEEE Trans. Computers, vol. 54, no. 4, pp. 385--397, Apr. 2005.

CONFERENCES

 

·         D. Baron, Y. Bresler, and M. K. Mihcak, ``Two-part codes with low worst-case redundancies for distributed compression of Bernoulli sequences,''  Proc. 34th Annual Conf. Infor. Sci. Sys. (CISS 2003)}, Baltimore, MD, Mar. 2003.

·         D. Baron and Y. Bresler, "Linear Complexity MDL Universal Coding with the BWT", presented at the recent results session at the IEEE International Symposium on Information Theory (ISIT 2001), Washington, DC, June 2001.

·         D. Baron and Y. Bresler, "Tree Source Identification with the Burrows Wheeler Transform", Proceedings of the 34th Annual Conference on Information Sciences and Systems (CISS 2000), Princeton New Jersey, vol. 2, pp. FA1-10-FA1-15, March 2000. ( Post script).

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Mathematics

JOURNAL ARTICLES

·         M. C. Robini, Y. Bresler, and I. E. Magnin, "On the convergence of Metropolis-type relaxation and annealing with constraints," Probability in the Engineering Informational Sciences, vol. 16, no. 4, pp. 427-452, 2002.

·         S. F. Yau and Y. Bresler, ``A generalization of {B}ergstrom's inequality and some applications,'' Linear Algebra and Applications, vol. 161, pp. 135--151, 1992.

·         C. Couvreur & Y. Bresler, "On the Optimallity of the Backward Greedy Algorithm for the Subset Selection Problem", SIAM Journal on Matrix Analysis and Its Applications, Vol. 21 No. 3, pp. 797-808, 1999. Draft version available <postscript>.

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Patents

 

·         A. Boag, Y. Bresler, and E. Michielssen, "A multilevel domain decomposition method for fast reprojection of images," U.S Patent No. 6,263,096, July 17, 2001.

- “ - ,       European Patent no. EP1221129B1, 2007.

- “ -,        German Patent DE66036393, 2008.

- “ -,        Dutch Patent NL, 2008.

- “ -,        Japanese Patent no. 4555524, 2011.

·         S. Basu and Y. Bresler,"Fast hierarchical backprojection method for imaging," U.S Patent No. 6,282,257, Aug.28, 2001.

   - “ -,          European Patent Application, no. EP00941625.6, 2001.

   - “ -,                    Japanese Patent Application, no. JP2001-504289, 2001.

·         S. Basu and Y. Bresler, "Fast hierarchical backprojection for 3D Radon transform," U.S Patent No. 6,307,911, Oct. 23, 2001.

   - “ -                     Canadian Patent No. 2,396,804, 2001

   - “ -                    European Patent Application, No. EP01920586.3, 2001.

   - “ -                    Japanese Patent Application, No. JP2001-571998, 2001

 

·         S. Basu and Y. Bresler, "Fast hierarchical reprojection for 3D Radon transform," U.S Patent No. 6,332,035, Dec. 18 2001.

       - “ -            Canadian Patent, , no. CA 2,398,729, 2001.

·         S. Basu and Y. Bresler, "Fast hierarchical reprojection algorithms for tomography," U.S Patent No. 6,351,548 B1, Feb. 26, 2002.

     - “ -              Canadian Patent, No. CA2,398,729, 2001

     - “ -              European Patent Application, No. EP01922521.8, Feb. 2001.                               Publicataion EP1264275 

     - “ -              Japanese Patent Application, No. JP2001-573395, 2001.

·         S. Xiao, Y. Bresler, and D. C. Munson, "Methods and Apparatus for Fast Divergent Beam Tomography," U.S Patent No.  6,771,732, 2004

- “ -              Chinese Patent No. ZL 038808226.8, 2009.

- “ -              European Patent No. EP 1478274, Sep. 2007.

- “ -              German Patent DE 60314745.3, 2007.

- “ -              Dutch Patent NL , 2007.

- “ -              British Patent GB  , 2007.

 

- “ -              Japanese Patent No. 4550426, 2011.

·         B. Sharif, Y. Bresler, and N. Aggarwal, “Adaptive parallel acquisition and reconstruction of dynamic MR images,” US Patent No. 7,423,430, Sep. 2008.

·         A.K. George and Y. Bresler, "Fast Hierarchical Backprojection Methods and Apparatus" US Patent 7729526 2010.

     - “ -                          PCT (international) Patent Application, 2004.

- “ -              Chinese Patent Application CN200480029785.X, 2004.

          - “ –             Indian Patent Application IN725/KOLNP/2006, 2004.

          - “ –             Patent Application EP04783902.2, 2004; publication No. EP1668563,                                    Publication date: 06/14/2006.

          - “ -              Japanese Patent  2010

·         A.K. George and Y. Bresler, "Fast Hierarchical Backprojection Methods and Apparatus - Continuation" US Patent Application 12/546,178, 2009

·         N. Aggarwal, S. Bandyopadhyay, and Y. Bresler, "Adaptive acquisition and reconstruction of dynamic MR images," US  7,945,305, Patent May 17, 2011.

·         B. Sharif and Y. Bresler, "AUTO-CALIBRATING PARALLEL MRI TECHNIQUE WITH DISTORTION-OPTIMAL IMAGE RECONSTRUCTION," US Patent Application, July 2010.

·         J. C. Ye, J.M. Kim, O.K. Lee, Y. Bresler, K. Lee, METHOD AND APPARATUS FOR COMPRESSED SENSING WITH JOINT SPARSITY, US patent application, serial number 13/084,347, April 2011.

 

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Technical reports

 

·         L. Garth, Y. Bresler, and H. V. Poor, ``Sonar array detection techniques: an overview,'' tech. rep., Techno-Sciences, Inc., Nov. 1991. Prepared for Naval Ocean Systems Center, San Diego, CA.

·         L. Garth, Y. Bresler, and H. V. Poor, ``The effects of narrowband processing on higher-order detection,'' tech. rep., Techno-Sciences, Inc., May 1992. Prepared for Naval Ocean Systems Center, San Diego, CA.

·         H. V. Poor, L. Garth, and Y. Bresler, ``Detection of non-gaussian signals: An approach based on linear processes,'' tech. rep., Techno-Sciences, Inc., Feb. 1992. Prepared for Naval Ocean Systems Center, San Diego, CA.

·         H. V. Poor, L. Garth, and Y. Bresler, ``Detection of non-gaussian signals: Performance analysis of quadratic and higher order detectors,'' tech. rep., Techno-Sciences, Inc., Mar. 1993. Prepared for Naval Ocean Systems Center, San Diego, CA.

·         S. Basu and Y.Bresler, "Four lemmas on bivariate polynomial factorization and their computer verification by mathematica," Tech. }ep. UILU-ENG-99-2229, Coordinated Systems Laboratory, University of Illinois at Urbana-Champaign, 1999.

·         S. Basu and Y.Bresler, "Two theorems on the column rank of certain matrices with trigonometric entries," Tech. {R}ep. UILU-ENG-99-2230, Coordinated Systems Laboratory, University of Illinois at Urbana-Champaign, 1999.

·         D. Baron and Y. Bresler, "Linear Complexity MDL Universal Coding with the BWT", Technical report UILU-ENG-01-2213, Coordinated Science Laboratory, University of Illinois, June 2001.

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Papers in Press

 

 

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ArXiv

 

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